NDLI: Energy-Efficient Sensing and Communication of Parallel Gaussian Sources

Content Provider	IEEE Xplore Digital Library
Author	Xi Liu Simeone, O. Erkip, E.
Copyright Year	1972
Abstract	Energy efficiency is a key requirement in the design of wireless sensor networks. While most theoretical studies only account for the energy requirements of communication, the sensing process, which includes measurements and compression, can also consume comparable energy. In this paper, the problem of sensing and communicating parallel sources is studied by accounting for the cost of both communication and sensing. In the first formulation of the problem, the sensor has a separate energy budget for sensing and a rate budget for communication, while, in the second, it has a single energy budget for both tasks. Furthermore, in the second problem, each source has its own associated channel. Assuming that sources with larger variances have lower sensing costs, the optimal allocation of sensing energy and rate that minimizes the overall distortion is derived for the first problem. Moreover, structural results on the solution of the second problem are derived under the assumption that the sources with larger variances are transmitted on channels with lower noise. Closed-form solutions are also obtained for the case where the energy budget is sufficiently large. For an arbitrary order on the variances and costs, the optimal solution to the first problem is also obtained numerically and compared with several suboptimal strategies.
Starting Page	3826
Ending Page	3835
Page Count	10
File Size	462733
File Format	PDF
ISSN	00906778
Volume Number	60
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Resource management Noise measurement Closed-form solutions Energy measurement Wireless sensor networks rate-distortion theory energy-efficient communication quantization
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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